GPUCorrel: A GPU accelerated Digital Image Correlation software written in Python Article Swipe

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Victor Couty , Jean‐François Witz , Pauline Lecomte‐Grosbras , Julien Berthe , E. Deletombe , Mathias Brieu ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1016/j.softx.2021.100815

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Cuda

Computer Science

Computer Graphics

Artificial Intelligence

Structural Engineering

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Python (programming language) CUDA Computer science Digital image correlation Software Computer graphics (images) Cruciform Computation General-purpose computing on graphics processing units Computational science Projection (relational algebra) Digital image Image processing Image (mathematics) Artificial intelligence Parallel computing Graphics Algorithm Programming language Physics Engineering Optics Structural engineering

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.softx.2021.100815
OA Status: gold
Cited By: 10
References: 26
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DOI: https://doi.org/10.1016/j.softx.2021.100815

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Title: GPUCorrel: A GPU accelerated Digital Image Correlation software written in Python

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Language: en

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Publication year: 2021

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Publication date: 2021-09-24

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Authors: Victor Couty, Jean‐François Witz, Pauline Lecomte‐Grosbras, Julien Berthe, E. Deletombe, Mathias Brieu

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Landing page: https://doi.org/10.1016/j.softx.2021.100815

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Concepts: Python (programming language), CUDA, Computer science, Digital image correlation, Software, Computer graphics (images), Cruciform, Computation, General-purpose computing on graphics processing units, Computational science, Projection (relational algebra), Digital image, Image processing, Image (mathematics), Artificial intelligence, Parallel computing, Graphics, Algorithm, Programming language, Physics, Engineering, Optics, Structural engineering

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Cited by: 10

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